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Skill scan report

linkedin-api

View on GitHub
14 Low Automated analysis flagged 2 potential risk patterns.

What this skill does

LinkedIn API integration with managed OAuth for sharing posts, managing ads, retrieving profile/organization information, and interacting with LinkedIn's platform.

github/leoyeai - Excessive Agency - 2.1k stars

ThreatsExcessive Agency Environment Variable Usage

Threat analysis

Excessive Agency1 finding
Environment Variable Usage1 finding

Skill info

Nameleoyeai/linkedin-api
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=linkedin-api
Stars2.1k

Assessments (2)

Excessive Agency1 finding MEDIUM
MEDIUM

Excessive Agency via local-llm-review

SKILL.md

The skill's description and quick start guide suggest broad capabilities, including managing ad campaigns and accessing LinkedIn features, which could be interpreted as excessive agency if not properl
Environment Variable Usage1 finding LOW
LOW

Environment Variable Usage via local-llm-review

SKILL.md

The skill relies on the `MATON_API_KEY` environment variable, which is a common practice but could be a risk if the key is mishandled or exposed.

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of linkedin-api? Report an issue or request a rescan.

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